刘建华,张启斌,YANG Di,岳德鹏,于强,杨斓.基于MCR-ANN-CA模型的包头市生态用地演变模拟[J].农业机械学报,2019,50(2):187-194.
LIU Jianhua,ZHANG Qibin,YANG Di,YUE Depeng,YU Qiang,YANG Lan.Simulation of Ecological Land Transition in Baotou City Based on MCR-ANN-CA Model[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(2):187-194.
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基于MCR-ANN-CA模型的包头市生态用地演变模拟   [下载全文]
Simulation of Ecological Land Transition in Baotou City Based on MCR-ANN-CA Model   [Download Pdf][in English]
投稿时间:2018-11-19  
DOI:10.6041/j.issn.1000-1298.2019.02.021
中文关键词:  生态用地演变  元胞自动机  人工神经网络  最小累积阻力模型  包头市
基金项目:国家自然科学基金项目(41371189)和“十二五”国家科技支撑计划项目(2012BAD16B00)
作者单位
刘建华 北京林业大学 
张启斌 北京林业大学 
YANG Di 弗罗里达大学 
岳德鹏 北京林业大学 
于强 北京林业大学 
杨斓 北京林业大学 
中文摘要:以内蒙古自治区包头市为研究区,耦合最小累积阻力(MCR)模型、人工神经网络(ANN)和元胞自动机(CA)构建MCR-ANN-CA模型。利用MCR模型量化包头市各用地类型演变为生态用地时的阻力,构建CA适宜性规则;利用ANN模型提取CA邻域转换规则,基于包头市2006、2011年土地利用数据及归一化植被指数(NDVI)、高程、坡度、水体距离、人口密度多项数据,对2016年生态用地演变情景进行模拟,以2016年实际生态用地分布为参照,将该模型模拟结果与CA-Markov模型的模拟结果进行对比(以2016年实际景观分布为参照),结果显示,两种模型模拟结果的卡帕一致性指数(Kappa index of agreement,KIA)分别为0.89和0.87,相对误差分别为3.10%和5.31%,MCR-ANN-CA模型显示了较高的模拟精度。
LIU Jianhua  ZHANG Qibin  YANG Di  YUE Depeng  YU Qiang  YANG Lan
Beijing Forestry University,Beijing Forestry University,University of Florida,Beijing Forestry University,Beijing Forestry University and Beijing Forestry University
Key Words:ecological land transition  cellular automata  artificial neural network  minimum cumulative resistance model  Baotou City
Abstract:To simulate the ecological land transition of Baotou City, Inner Mongolia, the MCR-ANN-CA model was built. This model was composed of minimum cumulative resistance model (MCR), artificial neural network (ANN) and cellular automata model (CA). The MCR model was used to simulate the resistance faced by ecological land during its transition. To measure the resistance, the data of normalized difference vegetation index (NDVI), digital elevation model (DEM), slope, distance from water, population density and industrial park distribution were normalized and superimposed to produce the resistance surface of MCR model. Then a cumulative consumption resistance surface was generated by using the cost distance tool of ArcGIS software. The generated surface was taken as the suitability map of CA model. The ANN model was used to extract CA neighborhood transfer rules and consider the neighborhood land use structure. The CA model combined the cumulative consumption resistance surface and the neighborhood transfer rules extracted by using the CNN model. And the MCR-CNN-CA model was finally formed. Based on the land use data of 2006 and 2011, the transition of construction land of Baotou City in 2016 was simulated by using the MCR-ANN-CA model. The simulation result of the model was compared with the CA-Markov model. The Kappa index of agreement (KIA) of the two models were 0.89 and 0.87, and the relative errors were 3.10% and 5.31%, respectively. The MCR-ANN-CA model showed high simulation precision.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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